[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"career-/careers/senior-ai-engineer":3,"related-careers-/careers/senior-ai-engineer":156},{"id":4,"title":5,"applicationUrl":6,"benefits":7,"body":15,"department":129,"description":130,"extension":131,"featured":132,"location":133,"meta":134,"navigation":132,"niceToHave":135,"path":141,"publishedAt":142,"remote":132,"requirements":143,"salaryRange":151,"seo":152,"stem":153,"type":154,"__hash__":155},"careers/careers/senior-ai-engineer.md","Senior AI Engineer","https://apply.otinga.io/senior-ai-engineer",[8,9,10,11,12,13,14],"Fully remote with flexible working hours","25 days annual leave plus bank holidays","Private health insurance","Annual learning and development budget of £3,000","Latest MacBook Pro and home office setup allowance","Regular team offsites and hackathon events","Equity participation for senior roles",{"type":16,"value":17,"toc":121},"minimark",[18,23,27,30,34,75,79,82,114,118],[19,20,22],"h2",{"id":21},"about-the-role","About the Role",[24,25,26],"p",{},"As a Senior AI Engineer at Otinga, you will be at the intersection of cutting-edge AI research and real-world enterprise impact. Our clients are Fortune 500 companies and large enterprises who rely on us to transform their AI innovation pipelines from brainstorming sessions into production-grade systems.",[24,28,29],{},"You will work across the full lifecycle of AI products, from rapid prototyping during client hackathons to architecting scalable systems that handle millions of transactions. This is not a research role -- every line of code you write is aimed at delivering measurable business value.",[19,31,33],{"id":32},"what-youll-do","What You'll Do",[35,36,37,45,51,57,63,69],"ul",{},[38,39,40,44],"li",{},[41,42,43],"strong",{},"Architect AI systems"," that power our AI Innovation Engine and client-facing products, making key decisions on model selection, data pipelines, and infrastructure",[38,46,47,50],{},[41,48,49],{},"Build production ML pipelines"," including data ingestion, feature engineering, model training, evaluation, and deployment",[38,52,53,56],{},[41,54,55],{},"Collaborate with clients"," during hackathons and workshops, providing technical guidance and turning validated ideas into implementation plans",[38,58,59,62],{},[41,60,61],{},"Mentor junior engineers"," through code reviews, pair programming, and technical design sessions",[38,64,65,68],{},[41,66,67],{},"Drive engineering standards"," by contributing to our internal tooling, documentation, and best practices",[38,70,71,74],{},[41,72,73],{},"Evaluate emerging technologies"," and recommend adoption strategies for new AI capabilities (LLMs, multimodal models, agents)",[19,76,78],{"id":77},"how-we-work","How We Work",[24,80,81],{},"Our engineering team operates with high autonomy and low bureaucracy. We ship frequently, test rigorously, and believe in owning the full stack from data to deployment. We use:",[35,83,84,90,96,102,108],{},[38,85,86,89],{},[41,87,88],{},"Languages:"," Python, TypeScript",[38,91,92,95],{},[41,93,94],{},"ML/AI:"," PyTorch, Hugging Face, LangChain, vector databases",[38,97,98,101],{},[41,99,100],{},"Infrastructure:"," AWS, Kubernetes, Terraform",[38,103,104,107],{},[41,105,106],{},"Data:"," PostgreSQL, Redis, Apache Kafka",[38,109,110,113],{},[41,111,112],{},"Collaboration:"," GitHub, Linear, Notion, Slack",[19,115,117],{"id":116},"why-otinga","Why Otinga",[24,119,120],{},"Working at Otinga means seeing your work create tangible impact across multiple industries. In the past year alone, our engineering team has helped clients generate over $60M in validated business value. You will not be maintaining legacy systems or building features nobody uses -- every project has a clear business case and an engaged client waiting for results.",{"title":122,"searchDepth":123,"depth":123,"links":124},"",2,[125,126,127,128],{"id":21,"depth":123,"text":22},{"id":32,"depth":123,"text":33},{"id":77,"depth":123,"text":78},{"id":116,"depth":123,"text":117},"Engineering","Join our engineering team to design and build production AI systems that power enterprise innovation at scale. You'll work directly with clients to architect solutions that turn hackathon-validated ideas into deployed products.","md",true,"Remote (UK/EU)",{},[136,137,138,139,140],"Experience with LLM/GenAI application development (RAG, fine-tuning, prompt engineering)","Contributions to open-source ML projects","Experience in consulting or client-facing engineering roles","Familiarity with enterprise AI governance and responsible AI frameworks","Experience with real-time data processing (Kafka, Flink, or similar)","/careers/senior-ai-engineer","2026-01-15",[144,145,146,147,148,149,150],"5+ years of professional software engineering experience with at least 3 years focused on ML/AI systems","Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, or JAX)","Experience deploying and maintaining ML models in production environments","Solid understanding of MLOps practices including CI/CD, model monitoring, and experiment tracking","Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)","Ability to communicate technical concepts clearly to non-technical stakeholders","Experience working in cross-functional teams with product managers and designers","£90,000 - £130,000",{"title":5,"description":130},"careers/senior-ai-engineer","Full-time","UzhIr7np269myhOzeJbihXSMJLh3RJ-ZdSjFNEZpJt0",[]]